It is a fundamental problem in search.
One important metric is precision for the first result or "P@1" which was something Google originally excelled at.
I was working at a search vendor where I had the chance to debrief high-level defectors from Google and Bing and found that they (like us, with our patent search) struggled to get P@1 above 70%. They saw personalization as a way forward but also told us that personalization at both of those vendors was limited to a few cheap tricks and their were structural reasons why neither vendor would do it in a deep way.
The trouble is that you can at best make an informed guess about what somebody searching for "testing" wants. You ultimately have to get them into a dialogue which might be "I gotta search for 'nondestructive testing'" or could be based on some diversity ranking so that 'covid testing', 'software testing', 'psychological testing', etc. are represented in the top few results.